BibSonomy :: publication ::

tag user group author concept BibTeX key search:all search:brusilovsky

The blue social bookmark and publication sharing system.

(0)

This publication has not been reviewed yet.

rating distribution

average user rating

The average rating is computed over all reviews. However, some of them may be invisible to you due to the visibility setting chosen by the reviewers.

(0.0 of 5.0 based on 0 reviews)

User Modelling for News Web Sites with Word Sense Based Techniques

by: Bernardo Magnini, and Carlo Strapparava

In: User Modeling and User-Adapted Interaction, Vol. 14, Nr. 2-3 (June 2004) , p. 239--257.

Resources (URL, PDF, PS...)

URL:	http://dx.doi.org/http://dx.doi.org/10.1023/B:USER.0000028980.13669.44
DOI:	10.1023/B:USER.0000028980.13669.44

SiteIF is a personal agent for a bilingual news web site that learns user's interests from the requested pages. In this paper we propose to use a word sense based document representation as a starting point to build a model of the user's interests. Documents passed over are processed and relevant senses disambiguated over WordNet are extracted and then combined to form a semantic network. A filtering procedure dynamically predicts new documents on the basis of the semantic network. There are two main advantages of a sense-based approach: first, the model predictions, being based on senses rather than words, are more accurate; second, the model is language independent, allowing navigation in multilingual sites. We report the results of a comparative experiment that has been carried out to give a quantitative estimation of these improvements.

BibTeX record

@article{citeulike:576263,
  abstract = {SiteIF is a personal agent for a bilingual news web site that learns user's interests from the requested pages. In this paper we propose to use a word sense based document representation as a starting point to build a model of the user's interests. Documents passed over are processed and relevant senses (disambiguated over WordNet) are extracted and then combined to form a semantic network. A filtering procedure dynamically predicts new documents on the basis of the semantic network.
There are two main advantages of a sense-based approach: first, the model predictions, being based on senses rather than words, are more accurate; second, the model is language independent, allowing navigation in multilingual sites. We report the results of a comparative experiment that has been carried out to give a quantitative estimation of these improvements.},
  added-at = {2009-07-01T11:12:30.000+0200},
  author = {Magnini, Bernardo and Strapparava, Carlo},
  biburl = {http://www.bibsonomy.org/bibtex/2c1e0e092c775e89fef5e32786c3c2bb0/brusilovsky},
  citeulike-article-id = {576263},
  doi = {http://dx.doi.org/10.1023/B:USER.0000028980.13669.44},
  interhash = {3d1e0227302c64f780a173687ecb5634},
  intrahash = {c1e0e092c775e89fef5e32786c3c2bb0},
  journal = {User Modeling and User-Adapted Interaction},
  keywords = {news user-profile},
  month = {June},
  number = {2-3},
  pages = {239--257},
  posted-at = {2006-06-06 20:38:46},
  priority = {2},
  timestamp = {2009-07-01T11:12:30.000+0200},
  title = {User Modelling for News Web Sites with Word Sense Based Techniques},
  url = {http://dx.doi.org/http://dx.doi.org/10.1023/B:USER.0000028980.13669.44},
  volume = 14,
  year = 2004
}

Endnote record

%0 Journal Article
%1 citeulike:576263
%A Magnini, Bernardo
%A Strapparava, Carlo
%D 2004
%J User Modeling and User-Adapted Interaction
%K 
%N 2-3
%P 239--257
%T User Modelling for News Web Sites with Word Sense Based Techniques
%R http://dx.doi.org/10.1023/B:USER.0000028980.13669.44
%U http://dx.doi.org/http://dx.doi.org/10.1023/B:USER.0000028980.13669.44
%V 14
%X SiteIF is a personal agent for a bilingual news web site that learns user's interests from the requested pages. In this paper we propose to use a word sense based document representation as a starting point to build a model of the user's interests. Documents passed over are processed and relevant senses (disambiguated over WordNet) are extracted and then combined to form a semantic network. A filtering procedure dynamically predicts new documents on the basis of the semantic network.
There are two main advantages of a sense-based approach: first, the model predictions, being based on senses rather than words, are more accurate; second, the model is language independent, allowing navigation in multilingual sites. We report the results of a comparative experiment that has been carried out to give a quantitative estimation of these improvements.

BibSonomy :: publication ::

User Modelling for News Web Sites with Word Sense Based Techniques

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record